{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from config import *\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年3月\n"
     ]
    }
   ],
   "source": [
    "print(f'{year}年{month}月')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "sys.path.append('../../py')\n",
    "import db\n",
    "import weighted\n",
    "import inspect\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as stats\n",
    "import numpy as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_original=pd.read_sql(sql=f\"select * from _{year}{month:02} where monthly_salary>0 and monthly_salary<80000\", con=db.get_conn())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(66103, 122)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_original.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data_original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "del data['publish_date']\n",
    "del data['published_on_weekend']\n",
    "del data['title']\n",
    "del data['company_title']\n",
    "del data['company_description']\n",
    "del data['job_description']\n",
    "del data['job_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_sub_stats_by_prefix(data, prefix):\n",
    "    \n",
    "    features = [feature for feature in data.columns if feature.startswith(prefix)]\n",
    "    salary_mean=[]\n",
    "    salary_median=[]\n",
    "    salary_95_min=[]\n",
    "    salary_95_max=[]\n",
    "    count=[]\n",
    "    \n",
    "    features_out=[]\n",
    "    for feature in features:\n",
    "        #print(feature)\n",
    "        idata=data[data[feature]==1]\n",
    "        headcount=idata.headcount.sum()\n",
    "        values = idata.monthly_salary.values\n",
    "        weights = idata.headcount.values\n",
    "        #print(str(headcount))\n",
    "        if headcount==0:\n",
    "            continue\n",
    "        \n",
    "        salary_mean.append(weighted.weighted_mean(values, weights))\n",
    "        q = weighted.weighted_quantile(values,[0.025,0.5,0.975],weights)\n",
    "        salary_median.append(q[1])\n",
    "        salary_95_min.append(q[0])\n",
    "        salary_95_max.append(q[2])\n",
    "        count.append(idata.headcount.sum())\n",
    "        features_out.append(feature)\n",
    "    sub_data=pd.DataFrame()\n",
    "    sub_data['rank']=range(0,len(features_out))\n",
    "    sub_data[prefix]=[f.replace(prefix,'') for f in features_out]\n",
    "    sub_data['salary_mean']=salary_mean\n",
    "    sub_data['salary_median']=salary_median\n",
    "    sub_data['salary_95_min']=salary_95_min\n",
    "    sub_data['salary_95_max']=salary_95_max\n",
    "    sub_data['head_count']=count\n",
    "    sub_data['percentage']=count/np.sum(count)\n",
    "    sub_data=sub_data.sort_values(by='salary_mean', ascending=False)\n",
    "    sub_data['rank']=range(1,len(features_out)+1)\n",
    "    #sub_data=sub_data.reset_index()\n",
    "    return sub_data\n",
    "\n",
    "def apply_style(sub_data):\n",
    "    return sub_data.style.hide_index().format(\n",
    "        {\"percentage\":\"{:.2%}\",\"salary_mean\":\"{:.0f}\",\"salary_median\":\"{:.0f}\",\"salary_95_min\":\"{:.0f}\",\"salary_95_max\":\"{:.0f}\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pl=get_sub_stats_by_prefix(data,'pl_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031ef\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >rank</th>        <th class=\"col_heading level0 col1\" >pl_</th>        <th class=\"col_heading level0 col2\" >salary_mean</th>        <th class=\"col_heading level0 col3\" >salary_median</th>        <th class=\"col_heading level0 col4\" >salary_95_min</th>        <th class=\"col_heading level0 col5\" >salary_95_max</th>        <th class=\"col_heading level0 col6\" >head_count</th>        <th class=\"col_heading level0 col7\" >percentage</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col1\" class=\"data row0 col1\" >rust</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col2\" class=\"data row0 col2\" >22077</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col3\" class=\"data row0 col3\" >20000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col4\" class=\"data row0 col4\" >5328</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col5\" class=\"data row0 col5\" >45000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col6\" class=\"data row0 col6\" >362</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow0_col7\" class=\"data row0 col7\" >0.11%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col1\" class=\"data row1 col1\" >typescript</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col2\" class=\"data row1 col2\" >18947</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col3\" class=\"data row1 col3\" >22500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col4\" class=\"data row1 col4\" >6500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col5\" class=\"data row1 col5\" >30000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col6\" class=\"data row1 col6\" >1743</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow1_col7\" class=\"data row1 col7\" >0.52%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col1\" class=\"data row2 col1\" >scala</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col2\" class=\"data row2 col2\" >18737</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col3\" class=\"data row2 col3\" >17500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col4\" class=\"data row2 col4\" >6590</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col5\" class=\"data row2 col5\" >43417</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col6\" class=\"data row2 col6\" >2056</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow2_col7\" class=\"data row2 col7\" >0.61%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col1\" class=\"data row3 col1\" >go</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col2\" class=\"data row3 col2\" >18616</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col3\" class=\"data row3 col3\" >16500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col4\" class=\"data row3 col4\" >6000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col5\" class=\"data row3 col5\" >40000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col6\" class=\"data row3 col6\" >22154</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow3_col7\" class=\"data row3 col7\" >6.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col1\" class=\"data row4 col1\" >lua</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col2\" class=\"data row4 col2\" >18594</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col3\" class=\"data row4 col3\" >17500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col4\" class=\"data row4 col4\" >4998</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col5\" class=\"data row4 col5\" >37500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col6\" class=\"data row4 col6\" >2519</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow4_col7\" class=\"data row4 col7\" >0.74%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col1\" class=\"data row5 col1\" >python</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col2\" class=\"data row5 col2\" >17895</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col3\" class=\"data row5 col3\" >15000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col4\" class=\"data row5 col4\" >4000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col5\" class=\"data row5 col5\" >45000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col6\" class=\"data row5 col6\" >25561</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow5_col7\" class=\"data row5 col7\" >7.56%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col1\" class=\"data row6 col1\" >matlab</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col2\" class=\"data row6 col2\" >17585</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col3\" class=\"data row6 col3\" >17000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col4\" class=\"data row6 col4\" >5250</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col5\" class=\"data row6 col5\" >37500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col6\" class=\"data row6 col6\" >5118</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow6_col7\" class=\"data row6 col7\" >1.51%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col1\" class=\"data row7 col1\" >haskell</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col2\" class=\"data row7 col2\" >17155</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col3\" class=\"data row7 col3\" >15000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col4\" class=\"data row7 col4\" >11500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col5\" class=\"data row7 col5\" >27000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col6\" class=\"data row7 col6\" >29</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow7_col7\" class=\"data row7 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col1\" class=\"data row8 col1\" >ruby</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col2\" class=\"data row8 col2\" >17027</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col3\" class=\"data row8 col3\" >17500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col4\" class=\"data row8 col4\" >3145</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col5\" class=\"data row8 col5\" >37215</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col6\" class=\"data row8 col6\" >858</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow8_col7\" class=\"data row8 col7\" >0.25%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col1\" class=\"data row9 col1\" >perl</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col2\" class=\"data row9 col2\" >16823</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col3\" class=\"data row9 col3\" >15000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col4\" class=\"data row9 col4\" >5000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col5\" class=\"data row9 col5\" >37500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col6\" class=\"data row9 col6\" >1838</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow9_col7\" class=\"data row9 col7\" >0.54%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col1\" class=\"data row10 col1\" >r</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col2\" class=\"data row10 col2\" >16721</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col3\" class=\"data row10 col3\" >15000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col4\" class=\"data row10 col4\" >5250</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col5\" class=\"data row10 col5\" >40000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col6\" class=\"data row10 col6\" >2472</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow10_col7\" class=\"data row10 col7\" >0.73%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col1\" class=\"data row11 col1\" >swift</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col2\" class=\"data row11 col2\" >15599</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col3\" class=\"data row11 col3\" >13750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col4\" class=\"data row11 col4\" >5500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col5\" class=\"data row11 col5\" >35000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col6\" class=\"data row11 col6\" >1983</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow11_col7\" class=\"data row11 col7\" >0.59%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col1\" class=\"data row12 col1\" >kotlin</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col2\" class=\"data row12 col2\" >15427</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col3\" class=\"data row12 col3\" >14000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col4\" class=\"data row12 col4\" >6500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col5\" class=\"data row12 col5\" >34479</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col6\" class=\"data row12 col6\" >645</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow12_col7\" class=\"data row12 col7\" >0.19%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col1\" class=\"data row13 col1\" >cpp</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col2\" class=\"data row13 col2\" >14395</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col3\" class=\"data row13 col3\" >12500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col4\" class=\"data row13 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col5\" class=\"data row13 col5\" >37500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col6\" class=\"data row13 col6\" >87034</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow13_col7\" class=\"data row13 col7\" >25.74%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col1\" class=\"data row14 col1\" >php</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col2\" class=\"data row14 col2\" >14180</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col3\" class=\"data row14 col3\" >12500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col4\" class=\"data row14 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col5\" class=\"data row14 col5\" >37500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col6\" class=\"data row14 col6\" >12190</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow14_col7\" class=\"data row14 col7\" >3.60%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col1\" class=\"data row15 col1\" >objective_c</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col2\" class=\"data row15 col2\" >14106</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col3\" class=\"data row15 col3\" >12944</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col4\" class=\"data row15 col4\" >5095</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col5\" class=\"data row15 col5\" >24143</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col6\" class=\"data row15 col6\" >168</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow15_col7\" class=\"data row15 col7\" >0.05%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col1\" class=\"data row16 col1\" >julia</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col2\" class=\"data row16 col2\" >13700</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col3\" class=\"data row16 col3\" >12500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col4\" class=\"data row16 col4\" >12500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col5\" class=\"data row16 col5\" >21500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col6\" class=\"data row16 col6\" >15</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow16_col7\" class=\"data row16 col7\" >0.00%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col1\" class=\"data row17 col1\" >java</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col2\" class=\"data row17 col2\" >13456</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col3\" class=\"data row17 col3\" >12500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col4\" class=\"data row17 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col5\" class=\"data row17 col5\" >32500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col6\" class=\"data row17 col6\" >96582</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow17_col7\" class=\"data row17 col7\" >28.56%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col1\" class=\"data row18 col1\" >javascript</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col2\" class=\"data row18 col2\" >11907</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col3\" class=\"data row18 col3\" >11500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col4\" class=\"data row18 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col5\" class=\"data row18 col5\" >25000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col6\" class=\"data row18 col6\" >35061</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow18_col7\" class=\"data row18 col7\" >10.37%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col1\" class=\"data row19 col1\" >c_sharp</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col2\" class=\"data row19 col2\" >11673</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col3\" class=\"data row19 col3\" >10500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col4\" class=\"data row19 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col5\" class=\"data row19 col5\" >27083</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col6\" class=\"data row19 col6\" >38200</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow19_col7\" class=\"data row19 col7\" >11.30%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col1\" class=\"data row20 col1\" >visual_basic</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col2\" class=\"data row20 col2\" >11292</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col3\" class=\"data row20 col3\" >10416</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col4\" class=\"data row20 col4\" >5250</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col5\" class=\"data row20 col5\" >21750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col6\" class=\"data row20 col6\" >26</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow20_col7\" class=\"data row20 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col0\" class=\"data row21 col0\" >22</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col1\" class=\"data row21 col1\" >delphi</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col2\" class=\"data row21 col2\" >10624</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col3\" class=\"data row21 col3\" >9000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col4\" class=\"data row21 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col5\" class=\"data row21 col5\" >22278</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col6\" class=\"data row21 col6\" >1028</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow21_col7\" class=\"data row21 col7\" >0.30%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col0\" class=\"data row22 col0\" >23</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col1\" class=\"data row22 col1\" >vba</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col2\" class=\"data row22 col2\" >9680</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col3\" class=\"data row22 col3\" >8000</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col4\" class=\"data row22 col4\" >3750</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col5\" class=\"data row22 col5\" >22500</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col6\" class=\"data row22 col6\" >546</td>\n",
       "                        <td id=\"T_da5d8346_5c9b_11ea_b9aa_701ce71031efrow22_col7\" class=\"data row22 col7\" >0.16%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x224fde70848>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apply_style(data_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23, 8)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pl.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pl=data_pl[['pl_','percentage']].sort_values(by='percentage', ascending=False)\n",
    "data_pl.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_f46ac998_5c9b_11ea_8809_701ce71031ef\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >rank</th>        <th class=\"col_heading level0 col1\" >pl_</th>        <th class=\"col_heading level0 col2\" >percentage</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow0_col1\" class=\"data row0 col1\" >java</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow0_col2\" class=\"data row0 col2\" >28.56%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow1_col1\" class=\"data row1 col1\" >cpp</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow1_col2\" class=\"data row1 col2\" >25.74%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow2_col1\" class=\"data row2 col1\" >c_sharp</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow2_col2\" class=\"data row2 col2\" >11.30%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow3_col1\" class=\"data row3 col1\" >javascript</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow3_col2\" class=\"data row3 col2\" >10.37%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow4_col1\" class=\"data row4 col1\" >python</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow4_col2\" class=\"data row4 col2\" >7.56%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow5_col1\" class=\"data row5 col1\" >go</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow5_col2\" class=\"data row5 col2\" >6.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow6_col1\" class=\"data row6 col1\" >php</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow6_col2\" class=\"data row6 col2\" >3.60%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow7_col1\" class=\"data row7 col1\" >matlab</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow7_col2\" class=\"data row7 col2\" >1.51%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow8_col1\" class=\"data row8 col1\" >lua</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow8_col2\" class=\"data row8 col2\" >0.74%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow9_col1\" class=\"data row9 col1\" >r</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow9_col2\" class=\"data row9 col2\" >0.73%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow10_col1\" class=\"data row10 col1\" >scala</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow10_col2\" class=\"data row10 col2\" >0.61%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow11_col1\" class=\"data row11 col1\" >swift</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow11_col2\" class=\"data row11 col2\" >0.59%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow12_col1\" class=\"data row12 col1\" >perl</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow12_col2\" class=\"data row12 col2\" >0.54%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow13_col1\" class=\"data row13 col1\" >typescript</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow13_col2\" class=\"data row13 col2\" >0.52%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow14_col1\" class=\"data row14 col1\" >delphi</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow14_col2\" class=\"data row14 col2\" >0.30%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow15_col1\" class=\"data row15 col1\" >ruby</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow15_col2\" class=\"data row15 col2\" >0.25%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow16_col1\" class=\"data row16 col1\" >kotlin</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow16_col2\" class=\"data row16 col2\" >0.19%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow17_col1\" class=\"data row17 col1\" >vba</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow17_col2\" class=\"data row17 col2\" >0.16%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow18_col1\" class=\"data row18 col1\" >rust</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow18_col2\" class=\"data row18 col2\" >0.11%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow19_col1\" class=\"data row19 col1\" >objective_c</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow19_col2\" class=\"data row19 col2\" >0.05%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow20_col1\" class=\"data row20 col1\" >haskell</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow20_col2\" class=\"data row20 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow21_col0\" class=\"data row21 col0\" >22</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow21_col1\" class=\"data row21 col1\" >visual_basic</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow21_col2\" class=\"data row21 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow22_col0\" class=\"data row22 col0\" >23</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow22_col1\" class=\"data row22 col1\" >julia</td>\n",
       "                        <td id=\"T_f46ac998_5c9b_11ea_8809_701ce71031efrow22_col2\" class=\"data row22 col2\" >0.00%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x224fa028308>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "data_pl['rank']=list(range(1,24))\n",
    "data_pl=data_pl[['rank','pl_','percentage']]\n",
    "#data_pl.style.format({\"percentage\":\"{:.2%}\"})\n",
    "data_pl.style.hide_index().format({\"percentage\":\"{:.2%}\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_pl=data_pl.sort_values(by='percentage')\n",
    "\n",
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "labels = data_pl['pl_']\n",
    "sizes = data_pl['percentage']\n",
    "#explode = (0, 0.1, 0, 0)  # only \"explode\" the 2nd slice (i.e. 'Hogs')\n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(15, 9))\n",
    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.title(f\"Programming Languages in China, {year}{month:02}\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "wc=WordCloud()\n",
    "wc_dict = {}\n",
    "for index, row in data_pl.iterrows():\n",
    "    wc_dict[row['pl_']]=row['percentage']\n",
    "\n",
    "\n",
    "wc=wc.generate_from_frequencies(wc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "wc_dict['c/c++']=0.33\n",
    "wc=wc.generate_from_frequencies(wc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.imshow(wc, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年3月\n"
     ]
    }
   ],
   "source": [
    "print(f'{year}年{month}月')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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